public final class SparseMatrixSoftmax extends RawOp implements Operand<TType>
Calculate the softmax of the innermost dimensions of a SparseMatrix.
Missing values are treated as `-inf` (i.e., logits of zero probability); and the output has the same sparsity structure as the input (though missing values in the output may now be treated as having probability zero).
Modifier and Type | Field and Description |
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static String |
OP_NAME
The name of this op, as known by TensorFlow core engine
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Modifier and Type | Method and Description |
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Output<TType> |
asOutput()
Returns the symbolic handle of the tensor.
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static <T extends TNumber> |
create(Scope scope,
Operand<?> logits,
Class<T> type)
Factory method to create a class wrapping a new SparseMatrixSoftmax operation.
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Output<?> |
softmax()
A CSRSparseMatrix.
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public static final String OP_NAME
@Endpoint(describeByClass=true) public static <T extends TNumber> SparseMatrixSoftmax create(Scope scope, Operand<?> logits, Class<T> type)
scope
- current scopelogits
- A CSRSparseMatrix.type
- public Output<?> softmax()
public Output<TType> asOutput()
Operand
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.
asOutput
in interface Operand<TType>
OperationBuilder.addInput(Output)
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